Clement Lelievre
Machine Learning Engineer
Salaire / Taux journalier
Paris, France
Freelance
Peut venir sur site
Expertises
Langues
Expérience de travail
ML Engineer
rayon.design
janv. 2025 - Présent
1 an 10 mois
À distance
ML Engineer Research, veille modèles SOTA Création ML backend python, pytorch, github, git, github actions, docker, cog, replicate, fastAPI etc.
Machine Learning Engineer
Scenario
sept. 2023 - Présent
3 ans 2 mois
Remote, Oregon 97458, États-Unis
- Producing production-ready and tested Python code - Implementing deep learning models built on top of Stable Diffusion - Interacting with MLE, CS and QA teams
Free-lance Python and data science dev | openAI, GPT, Python, Pandas, Sklearn, Tensorflow
Self Employed
juin 2020 - Présent
6 ans 5 mois
ML engineering, data science Find one my freelancer profiles here: https://www.malt.fr/profile/python
Machine Learning/Python articles and videos
Finxter
janv. 2021 - nov. 2023
2 ans 11 mois
Remote, Oregon 97458, États-Unis
Writing Python and data science-related articles, and making tutorial videos. My articles and videos here: https://blog.finxter.com/author/clementlelievre/
Data science Teacher
Le Wagon
déc. 2020 - avr. 2021
5 mois
Hosting data analysis and web scraping webinars and supervising students in Python, maths, Machine Learning (e.g. Natural Language Processing) and Deep learning, in Paris and Berlin.
Reporting developer
Mondadori France
août 2018 - sept. 2020
2 ans 2 mois
In charge of financial reportings Automating reports (Excel, VBA, Python)
Structured products cross-asset
BNP Paribas CIB
mai 2015 - juin 2016
1 an 2 mois
FX structuring
Crédit Agricole CIB
mai 2014 - nov. 2014
7 mois
La Défense
Equity derivatives counterparty risk
UBS Investment Bank
juin 2012 - déc. 2012
7 mois
Londres, Royaume-Uni
Formation
Le Wagon
Data science, Data science
2020 - 2021
3 mois
#1 data science bootcamp: 10-week intensive coding bootcamp to learn Data Science with Python: • Data Analytics with SQL, BigQuery, Pandas, Numpy, and Matplotlib • Statistics with Scipy, Seaborn and Statsmodels • Machine Learning with Scikit-learn • Deep Learning with TensorFlow, Keras • Develop Data Products with Google Cloud Platform, ML Flow, Flask, Heroku and Streamlit Machine Learning: • Supervised Learning: Linear Models, Logistic Regression, Support Vector Machines, Stochastic Gradient Descent, K-nearest Neighbors, Naive Bayes, Decision Trees, Random Forest • Unsupervised Learning: K-Means, Principal Component Analysis • Model Selection, Cross-Validation, Hyper parameter tuning, Scoring Deep Learning: • Dense / Convolutional Neural Networks, Recurrent NN, Image Recognition, Natural Language Processing.
HEC Paris
International Finance
2010 - 2015
5 ans
Activités et associations : Chess club, Tennis club
Lycée Henri IV
2008 - 2011
3 ans
Classe préparatoire aux Grandes Écoles
Licences et certifications
Silver Award Pi Code Challenge
Délivré le : mars 2023
Certification RNCP développeur en intelligence artificielle
Délivré le : juil. 2022
Portfolio
ML Engineer
chatbot utilisateur FAQ
Application de recherche de comptables
Création d'un bot telegram
